AI Product Management: Foundations and Strategy

The demand for product managers who understand artificial intelligence is growing rapidly as companies integrate machine learning into every workflow. This course prepares you to navigate the intersection of business strategy and technical innovation in the evolving AI landscape. You will gain the skills to bridge the gap between engineering teams and business goals, ensuring AI products are both feasible and valuable for the end user. What you'll learn: - Understand core principles of machine learning and how they differ from traditional software development. - Conduct market research to identify opportunities where AI can solve specific user pain points. - Develop product requirements that account for data privacy, model accuracy, and performance metrics. - Apply prompt engineering basics and evaluate Large Language Model (LLM) capabilities for product integration. - Navigate the ethical landscape of AI, focusing on bias mitigation and responsible data usage. - Practice creating a product roadmap that prioritizes data collection and iterative model training. The course begins with foundational AI terminology and concepts before moving into the practical stages of the product lifecycle, from initial ideation to post-launch optimization. This text-based program is designed for aspiring product managers and professionals looking to transition into the AI space; no prior technical background or programming experience is required. Start your journey toward managing the next generation of intelligent software today.